SPARK Research Match Expansion

Simons Foundation Autism Research Initiative (SFARI)
Award USD 0–10K ≈ €0–€9.2K
Closing date Closed
Location Global
For Individuals

About this opportunity

The SPARK Research Match Expansion RFA is an effort to engage with and increase research participation by individuals whose genetic ancestries have been undersampled in clinical research. This funding opportunity provides per-person participant incentives (e-gift cards) for participation in projects that utilize SPARK Research Match to recruit participants into new research studies or to broaden participation in ongoing Research Match studies. The program aims to ensure that autism research efforts better reflect the demographics of the United States by prioritizing participation of undersampled groups. SPARK (Simons Foundation Powering Autism Research for Knowledge) is the world's largest research study on autism, and SPARK Research Match is a platform that links researchers with SPARK participants for new studies. This RFA specifically supports research topics that are clearly of interest, impact, and importance to undersampled communities.
6-8 weeks after quarterly deadline

Who can apply

Applicant Types

individual

Organization Types

academic

Residency

🇺🇸 United States

Project Locations

🇺🇸 United States

Region

United States

Priority Groups

racial_minorities

How to apply

Institutional approval

Stages

  1. 1 single_stage

Required documents

research_proposal · certifications

Review process

Applications will be reviewed quarterly on the basis of alignment with SPARK's mission to advance understanding of autism, potential to engage participants, benefit to participants, scientific merit, and relevance to this RFA.

Restrictions

  • reporting_requirements

Post-award obligations

  • share_data
  • acknowledge_funder

External listing — not managed by a verified Grantory funder

External Application

This opportunity requires you to apply directly on the funder's website.

Apply on External Site

AI-Extracted Data

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